CN101076118B - Image processing apparatus and image processing method - Google Patents
Image processing apparatus and image processing method Download PDFInfo
- Publication number
- CN101076118B CN101076118B CN2007101041263A CN200710104126A CN101076118B CN 101076118 B CN101076118 B CN 101076118B CN 2007101041263 A CN2007101041263 A CN 2007101041263A CN 200710104126 A CN200710104126 A CN 200710104126A CN 101076118 B CN101076118 B CN 101076118B
- Authority
- CN
- China
- Prior art keywords
- row
- analysis
- filtering
- image processing
- end row
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000012545 processing Methods 0.000 title claims abstract description 31
- 238000003672 processing method Methods 0.000 title claims description 4
- 238000004458 analytical method Methods 0.000 claims abstract description 148
- 238000001914 filtration Methods 0.000 claims abstract description 111
- 238000000034 method Methods 0.000 claims description 39
- 238000013139 quantization Methods 0.000 claims description 15
- 239000004744 fabric Substances 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 7
- 230000008676 import Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims 1
- 238000003780 insertion Methods 0.000 claims 1
- 230000037431 insertion Effects 0.000 claims 1
- 230000009466 transformation Effects 0.000 description 24
- 230000015572 biosynthetic process Effects 0.000 description 12
- 238000003786 synthesis reaction Methods 0.000 description 12
- 239000002131 composite material Substances 0.000 description 8
- 238000003860 storage Methods 0.000 description 8
- 238000007906 compression Methods 0.000 description 6
- 230000006835 compression Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 230000001934 delay Effects 0.000 description 3
- 230000003111 delayed effect Effects 0.000 description 3
- 230000014759 maintenance of location Effects 0.000 description 3
- 102100040160 Rabankyrin-5 Human genes 0.000 description 2
- 101710086049 Rabankyrin-5 Proteins 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
- H04N19/64—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by ordering of coefficients or of bits for transmission
- H04N19/647—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by ordering of coefficients or of bits for transmission using significance based coding, e.g. Embedded Zerotrees of Wavelets [EZW] or Set Partitioning in Hierarchical Trees [SPIHT]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/41—Bandwidth or redundancy reduction
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
- Image Processing (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
An image processing apparatus includes an input unit that inputs image data; and an analysis filtering unit that generates coefficient data of a plurality of subbands by performing analysis filtering of the image data input by the input unit for each predetermined number of lines from an upper-end line to a lower-end line such that analysis filtering of a lower-end line of the current picture is completed before analysis filtering of an upper-end line of the next picture starts.
Description
The cross reference of related application
The present invention comprises and relates to the theme to the Japanese patent application JP 2006-136876 of Japan Patent office submission on May 16th, 2006, and its full content here is incorporated herein by reference.
Technical field
The present invention relates to use bank of filters that each width of cloth in several pictures that constitute moving image is carried out frequency range analysis equipment and the method that frequency range analysis also is divided into every width of cloth picture a plurality of subbands, use bank of filters that each width of cloth in several pictures that are divided into a plurality of subbands is carried out frequency band synthetic frequency band synthesis device and method, the use bank of filters is carried out frequency range analysis to each width of cloth in several pictures that constitute moving image and every width of cloth of encoding passes through the picture of frequency range analysis to produce the image encoding apparatus and the method for encoding code stream, the decoding and coding code stream also uses bank of filters that decoded bit stream is carried out frequency range analysis to rebuild image decoding apparatus and method, program and the recording medium of moving image.
Background technology
As the typical method of compressed image, be available by the standardized JPEG (joint photographic experts group) of International Organization for Standardization (JPEG) method.The JPEG method is used discrete cosine transform (DCT) and fabulous coded image and decoded picture is provided when high relatively bit rate.Yet when coding bit rate was reduced to predetermined value or littler value, the distinctive block noise of dct transform was increased significantly.Therefore, subjectivity be it seems to degenerate and is become obvious.
In recent years, use the bank of filters of low pass filter and high pass filter combination to segment the image into a plurality of subbands and the research and development that in a plurality of subbands each is carried out Methods for Coding is carried out energetically.In this case, Coding with Wavelets is considered to a kind of new promising technology that will replace dct transform, because Coding with Wavelets is unlike dct transform, and the block noise significant disadvantages that becomes when high compression not.
The JPEG 2000 that finishes International standardization in January calendar year 2001 has adopted the method that above-mentioned wavelet transformation and efficient entropy coding (carrying out bit modeling and arithmetic coding at each plane) are combined.JPEG 2000 compares with any other JPEG method, has realized the remarkable improvement on code efficiency.
Give an example, the technology of describing in not careful Japanese Patent Application Publication No.2001-197499 is suggested.
Basically, JPEG 2000 is used to encode the standard of rest image.At satellite image, map image, the JPEG-2000 The Application of Technology of the image of identification photo etc. is expected.The motion JPEG 2000 that constitutes each width of cloth in several pictures of moving images according to JPEG 2000 coding as the third part of JPEG 2000 standards by standardization.
However, in order to use the moving image of JPEG 2000 technology for encoding such as vision signal, need carry out real-time coding to several each width of cloth of importing in the picture continuously.Especially, at the wavelet transformation that is used for JPEG 2000, in order to improve compression efficiency, the subband of each width of cloth is cut apart the rank of cutting apart that is performed usually up to reaching expectation in several pictures.Therefore, before next picture is transfused to, must finish photo current in the analysis filtered of finally cutting apart on the rank.
Consider above-mentioned condition, JPEG 2000 methods not only also have other according to wavelet transformation each width of cloth in several pictures that constitute moving image to be divided into a plurality of subbands and in a plurality of subbands each is carried out the image encoded compression method and be performed.
For the hardware of special use, this condition can satisfy with the service speed that increases wavelet transformation by the processing clock number that increases this hardware.Yet, increase the increase that the processing clock number can cause power consumption.In addition, because very little such as the processing clock number of the programmable hardware of field programmable gate array (FPGA) or programmable logic device (PLD), this programmable hardware does not satisfy this condition.
Summary of the invention
Therefore, expectation provides a kind of frequency range analysis equipment and method that is used for the wavelet transformation of executed in real time motion image signal, the frequency band synthesis device and the method that are used for the inverse wavelet transform of executed in real time motion image signal, be used for when the wavelet transformation of executed in real time motion image signal, carrying out image encoded encoding device and method, be used for when the inverse wavelet transform of executed in real time motion image signal, carrying out image decoding apparatus and method, program and the recording medium of decoding.
Image processing equipment comprises according to an embodiment of the invention: the input unit that is used for input image data; And be used for by the view data of being imported by this input unit is carried out the analysis filtered device that analysis filtered produces the coefficient data of a plurality of subbands, described analysis filtered is carried out at each the predetermined line number from the upper end row to the lower end row, makes the analysis filtered of lower end row of photo current be done before the analysis filtered of the upper end of next picture row begins.
Image processing equipment comprises according to another embodiment of the present invention: be used to import by view data being carried out the input unit of the coefficient data that filtering produces at each the predetermined line number from the upper end row to the lower end row; And the synthetic filtering device that is used for producing view data by the synthetic filtering that the coefficient data by this input unit input is carried out vertical and level, described synthetic filtering carries out at the predetermined line number of each from the upper end row to the lower end row of each in a plurality of subbands, makes the synthetic filtering of lower end row of photo current be done before the synthetic filtering of the upper end of next picture row begins.
Therefore, because the wavelet transformation of photo current or inverse wavelet transform were done before the wavelet transformation of next picture or inverse wavelet transform begin, the wavelet transformation of motion image signal or inverse wavelet transform can be carried out in real time.
Description of drawings
Fig. 1 schematically illustrates the configuration according to the frequency range analysis equipment of first embodiment;
Fig. 2 comprises the signal allocation figure that has shown based on interleaved signal in the signal of SMPTE 274M standard, and has shown the position that the vertical blank signal is inserted into.
Actual image area during Fig. 3 has shown first, actual image area and white space in second;
Fig. 4 has shown the buffer memory at the capable execution of every N;
Fig. 5 has shown the vertical filtering in the analysis filtered of cutting apart rank 1;
Fig. 6 has shown the horizontal filtering in the analysis filtered of cutting apart rank 1;
Fig. 7 has shown by execution analysis filtering up to cutting apart the result that rank 2 is obtained;
Fig. 8 shown by to real image execution analysis filtering up to cutting apart the result that rank 3 is obtained;
Fig. 9 has shown the lifting structure of 9 * 7 analysis filters;
Figure 10 has shown that the analysis filtered that lift technique therein is applied to 9 * 7 analysis filters is performed up to the example of cutting apart rank 2;
Figure 11 has shown the example of the correlation technique that the wavelet transformation of photo current was not done before next picture input;
Figure 12 has shown the example of first embodiment of regularly finishing the wavelet transformation of photo current by the analysis filtered of lower end row in advance before next picture input;
Figure 13 has shown the analysis filtered timing of the lower end row of photo current in correlation technique;
Figure 14 has shown the analysis filtered timing of the lower end row of photo current in first embodiment;
Figure 15 schematically illustrates the configuration according to the image encoding apparatus of second embodiment;
Figure 16 schematically illustrates the configuration according to the frequency band synthesis device of the 3rd embodiment;
Figure 17 has shown the example of the correlation technique that the inverse wavelet transform of photo current was not done before next picture input;
Figure 18 has shown the example of the 3rd embodiment of regularly finishing the inverse wavelet transform of photo current by the synthetic filtering of lower end row in advance before next picture input;
Figure 19 has shown the synthetic filtering timing of the lower end row of photo current in correlation technique;
Figure 20 has shown the synthetic filtering timing of the lower end row of photo current in the 3rd embodiment;
Figure 21 has shown therein at the predetermined one or more synthetic filtering of next picture regularly is delayed on the rank examples cut apart;
Figure 22 schematically illustrates the configuration according to the image decoding apparatus of the 4th embodiment; And
Figure 23 has shown the another kind configuration of frequency range analysis equipment.
Embodiment
Embodiments of the invention will be described with reference to the accompanying drawings.
First embodiment
According to the operational analysis bank of filters of first embodiment incoming video signal being carried out frequency range analysis will be described with the frequency range analysis equipment that this vision signal is divided into a plurality of subbands.
Fig. 1 schematically illustrates the configuration according to the frequency range analysis equipment 10 of first embodiment.
With reference to figure 1, frequency range analysis equipment 10 comprises image line input unit 11, line buffer unit 12, line analysis filter cell 13 and horizontal analysis filter cell 14.
Image line input unit 11 receives the vision signal D10 of every row, and the data flow D11 of this image line is offered line buffer unit 12.
Vision signal is usually by standard definition.For example, television broadcasting is now carried out according to NTSC (NTSC) standard.In addition, high definition TV (HDTV) standard is organized film and Television Engineer association (SMPTE) to be standardized as standard numbering " SMPTE 274M " by the standard formulation of the U.S..In the following description, HDTV standard (1920 * 1080 resolution) will be described as example.
Fig. 2 comprises the signal allocation figure that has shown based on interleaved signal in the signal of the SMPTE 274M standard of HDTV standard.With reference to figure 2, top figure has shown first, and following figure has shown second.Actual signal in first is positioned at the zone from the 21st row to the 560th row (560-21+1=540 (OK)), this zone be configured in shown in " 22H " among Fig. 2 22 capable vertical blank signals (V_BLK1) afterwards.Actual signal in second is positioned at the zone from the 584th row to the 1123rd row (1123-584+1=540 (OK)), this zone be configured in shown in " 23H " among Fig. 2 23 capable vertical blank signals (V_BLK2) afterwards.
As mentioned above, about vision signal, the vertical blank signal is configured in before and after the real data.Fig. 3 has shown first actual image area, second actual image area and white space.Vertical blank signal V_BLK1 above-mentioned and V_BLK2 also are displayed among Fig. 3.
Because frequency range analysis equipment 10 is that unit carries out wavelet transformation with the picture (field/frame) that constitutes vision signal, it is essential detecting the operation of the end points of a width of cloth picture and the analysis filtered of resetting.Therefore, image line input unit 11 detects the end points of picture by the vertical blank signal that detects vision signal.
Line buffer unit 12 storages also keep the data flow that each is gone.Line buffer unit 12 continues storage and retention data stream D11 is stored up to the data flow D11 of the necessary line number of vertical filtering (N is capable), as shown in Figure 4.
Line analysis filter cell 13 orders read the capable line data D12 of N, and carry out vertical lowpass analysis filtering and perpendicular high pass analysis filtered.Because vertical filtering, the low frequency component (L) and high fdrequency component (H) D13 that are obtained by vertical segmentation are produced, as shown in Figure 5.
Be right after sample number on the horizontal direction of low frequency and high fdrequency component D13 and be up to the standard after the required M of filtering 14 executive level lowpass analysis filtering of horizontal analysis filter cell and horizontal high pass analysis filtering.Because horizontal filtering, low frequency component (1LL) D14 and high fdrequency component (1HL, 1LH and the 1HH) D15 of being cut apart acquisition by level are produced, as shown in Figure 6.About the order of letter " L " and " H " among Fig. 6, the frequency band that obtains after the filtering of last letter representation executive level, then a letter representation is carried out the frequency band that obtains after the vertical filtering.In addition, be placed on letter " L " or " H " numeral is before cut apart rank.
As in the analysis filtered result of cutting apart on the rank 1, horizontal analysis filter cell 14 produces low frequency component (1LL) D14 and high fdrequency component (1HL, 1LH and 1HH) D15, as mentioned above.
In wavelet transformation, low frequency component is classified to cut apart up to the rank of cutting apart that reaches expectation usually.Therefore, in first embodiment, low frequency component (1LL) D14 is provided for line buffer unit 12 and cuts apart with further analyzed bank of filters.Be right after after the required line number of line analysis filtering is buffered line buffer unit 12, be performed in the analysis filtered of cutting apart on the rank 2.Because most of energy of picture signal is concentrated in the low frequency component, low frequency component is repeated to cut apart, as mentioned above.
In the analysis filtered of cutting apart rank 2, line analysis filter cell 13 orders read the capable line data D12 of N/2, and carry out vertical lowpass analysis filtering and perpendicular high pass analysis filtered, as shown in Figure 6.Then, be right after after sample number on the horizontal direction of low frequency and high fdrequency component D13 reaches M 14 executive level lowpass analysis filtering of horizontal analysis filter cell and horizontal high pass analysis filtering.Because horizontal filtering, low frequency component (2LL) and high fdrequency component (2HL, 2LH and 2HH) are produced, as shown in Figure 7.With reference to figure 7, be divided into four subbands cutting apart the subband 1LL that rank 1 obtains, i.e. 2LL, 2HL, 2LH and 2HH, it is obtained so always to have seven subbands.
Cut apart rank in order further to increase, analysis filtered can be repeated to carry out at low frequency component.Fig. 8 has shown that by analysis filtered real image being carried out subband cuts apart up to the example of cutting apart rank 3.
Cut apart the every reduction by 1 of rank, the line number N that stores and be retained in each subband in the line buffer unit 14 becomes twice.Therefore, as shown in Figure 8,, at the subband of cutting apart rank 2 two row are arranged, and four lines is arranged at the subband of cutting apart rank 1 when when the subband line number of cutting apart rank 3 is 1.This is based on the principle of wavelet transformation.
As the most general algorithmic approach of above-mentioned analysis filtered, the method that is called as convolution algorithm is available.Convolution algorithm is the fundamental method that is used to realize digital filter.As convolution algorithm, the convolution multiplication of filter tap coefficients and actual input data is performed.Yet convolution algorithm has produced the problem that calculated load increases when tap length increases.
As a kind of technology that addresses the above problem, at W.Sweldens, " The LiftingScheme:A Custom-design Construction of Biorthogonal Wavelets ", Appl.Comput.Harmon.Anal., vol.3, no.2, PP.186-200, the lift technique of describing in 1996 at wavelet transformation is well-known.
Fig. 9 has shown the lifting structure of 9 * 7 analysis filters that adopt in JPEG 2000 standards.The lift technique analysis filtered that is applied to 9 * 7 analysis filters will schematically make an explanation with reference to figure 9 therein.
With reference to figure 9, the input picture sample is displayed on first row (that is, top line) that begins from the top, and is presented at second row that begins from the top and the third line that begins from the top respectively by the component that the processing of step S1 and S2 produces.In addition, the high fdrequency component output that is produced by the processing of step S3 is displayed on the fourth line that begins from the top, and is displayed on the fifth line (that is end row) that begins from the top by the low frequency component output that the processing of step S4 produces.The input picture sample might not be displayed on first row.The coefficient that is obtained by above-mentioned analysis filtered can be displayed on first row.In this embodiment, the input picture sample is displayed on first row.The sample of even-numbered or row are represented as square, and the sample of odd-numbered or row are represented as circle.
Because lift technique is applied to the analysis filtered of 9 * 7 analysis filters therein, high fdrequency component is obtained by the processing of step S3, and low frequency component is by the processing acquisition of step S4.The following formulate of the processing of step S1 to S4:
Step S1:
Step S2:
Step S3:
Step S4:
Can be carried out by the analysis filtered of using lifting structure as shown in Figure 9 owing to cut apart other analysis of level at one, cutting apart other analysis filtered of level up to expectation can realize by carrying out a plurality of analysis filtered steps.
In the following description, give an example, in display or similar devices, scanning is from the pixel in the screen upper left corner.When the scanning from the high order end pixel to the low order end pixel was done in the delegation, delegation was formed.When from row topmost when the scanning of going bottom is done, a screen is formed.
Figure 10 has shown that the analysis filtered that lift technique therein is applied to 9 * 7 analysis filters is performed up to the example of cutting apart rank 2.Unlike Fig. 9, input picture is capable be displayed on Figure 10 vertically on.That is, in this analysis filtered, the scanning of sample uses the line analysis filter vertically to carry out on the screen.
In the analysis filtered of cutting apart rank 1, in Figure 10 on from top to bottom the direction, component is with high fdrequency component (1), low frequency component (2), and high fdrequency component (3), the order of low frequency component (4) etc. produces.In addition, in the analysis filtered of cutting apart rank 2, in Figure 10 on from top to bottom the direction, component is with high fdrequency component (1), low frequency component (2), and high fdrequency component (3), the order of low frequency component (4) etc. produces.Although be performed when the analysis filtered of rank 1 is cut apart in execution in the analysis filtered of cutting apart rank 2, its explanation here is omitted.
Can be clear that from Figure 10, cut apart on the rank 2 timing that produces high fdrequency component or low frequency component with respect to cutting apart produce high fdrequency component or low frequency component on the rank 1 timing by 2 times of delays.This delay is to use the feature of the analysis filtered of this lifting structure.
As mentioned above, in wavelet transformation, usually, the subband of a width of cloth picture is cut apart the rank of cutting apart that is performed up to reaching expectation.Yet when cutting apart the rank increase, the timing that produces high fdrequency component or low frequency component is by 2 times of delays, as mentioned above.Therefore, when wavelet transformation carried out vision signal D10, the wavelet transformation of photo current may not be done in the phase at vertical blank as shown in Figure 2, and next picture may be transfused to before the wavelet transformation of photo current is finished.
Figure 11 has shown the example that next picture was transfused to before the wavelet transformation of photo current is finished.Figure 11 has shown when wavelet transformation is performed at photo current and next picture, in chronological order from cutting apart the processing of rank 1 to the wavelet transformation of cutting apart rank 4.The row that uses according to SMPTE 274M standard among row shown in Figure 11 number and Fig. 2 is number identical.As shown in figure 11, before the analysis filtered that next picture is being cut apart rank 1 was performed, photo current was not done in the analysis filtered of cutting apart rank 3 and 4.
In order to address the above problem, cut apart in other analysis filtered of level at each at photo current, according to the frequency range analysis equipment 10 analysis filtered timing of lower end row in advance of first embodiment, as shown in figure 12.Therefore, photo current was done before the analysis filtered of cutting apart rank 4 can begin in the analysis filtered that next picture is being cut apart rank 1.
The analysis filtered method regularly of cutting apart the lower end row of rank photo current in advance at each is described below.
Just as at the example shown in Figure 10, Figure 13 has shown that the analysis filtered that lift technique therein is applied to 9 * 7 analysis filters is performed up to the example of cutting apart rank 4.Figure 13 has shown the 1123rd row as the lower end of photo current, is configured in the vertical blank signals of the row of 22 after the photo current, and since the sample of next picture of the 21st row.
In the analysis filtered of the lower end row of cutting apart rank 1, component (10), (11) and (12) are produced with this order, and high fdrequency component (13) and low frequency component (14) are produced then, as shown in figure 13.Similarly, in the analysis filtered of the lower end row of cutting apart rank 2, component (20), (21) and (22) are produced with this order, and high fdrequency component (23) and low frequency component (24) are produced then, as shown in figure 13.In the analysis filtered of the lower end row of cutting apart rank 3, component (30), (31) and (32) are produced with this order, and high fdrequency component (33) and low frequency component (34) are produced then, as shown in figure 13.In the analysis filtered of the lower end row of cutting apart rank 4, component (40), (41) and (42) are produced with this order, and high fdrequency component (43) and low frequency component (44) are produced then, as shown in figure 13.
The arrow that points to blank interim pixel from photo current represents that sample expanded by symmetry." symmetry expansion " refers to when analysis filtered is carried out on the border of picture or intersubband, and additional sample is provided to the not in esse part of sample by the symmetry expansion from image-region.Therefore, additional sample that is provided and original sample are the relations of mirror images of each other.As shown in figure 13, give an example, the component (10 ') that is positioned at the photo current zone is the original component about the additional component (10) that is positioned at the blank phase.Similarly, cutting apart rank 1, from component (11 ') to component (11), from component (12 ') to component (12), from component (13 ') to component (13), and from component (14 ') to component the symmetry expansion of (14) is performed.This is equally applicable to other and cuts apart rank.
Although be done in the blank phase in the analysis filtered of cutting apart rank 4 among Figure 13,, can not in the blank phase, finish in the analysis filtered of cutting apart rank 5 if analysis filtered is performed up to cutting apart rank 5.In addition, when the interim line number of blank hour, similar problem also can take place.
In order to address the above problem, according to the frequency range analysis equipment 10 of first embodiment in advance in the symmetry expansion of lower end row regularly, and therefore the analysis filtered of the lower end row of photo current is regularly in advance.That is to say, as shown in figure 14, be right after after the original sample of the symmetry expansion that the lower end row that will stand at the lower end of photo current row and each subband of photo current is used to replenish is produced, symmetrical extension process is performed, and cuts apart other analysis filtered of level at each and be performed.
Therefore, even, finish before frequency range analysis equipment 10 also can begin in the analysis filtered of the upper end of next picture row up to the analysis filtered of finally cutting apart other photo current of level when cutting apart number of levels when big.
Second embodiment
The image encoding apparatus of the coefficient data that is produced by wavelet transformation according to the compression of second embodiment and coding will be described.
Figure 15 schematically illustrates the configuration according to the image encoding apparatus 20 of second embodiment.With reference to Figure 15, image encoding apparatus 20 comprises analysis filterbank 21, quantifying unit 22, entropy coding unit 23 and rate controller 24.
Quantifying unit 22 quantizes by removing the coefficient data D21 that is produced by analysis filterbank 21 with for example quantization step, and produces the coefficient data D22 that quantizes.
The source code of the quantization coefficient data D22 that is produced by quantifying unit 22 is carried out in entropy coding unit 23, and produces the encoding code stream D23 of compression.As source code, Huffman coding that for example adopts in JPEG and Motion Picture Experts Group (MPEG) or the high accuracy arithmetic coding that adopts in JPEG 2000 can be used.
The 3rd embodiment
To be described with frequency range analysis equipment 10 corresponding frequency band synthesis devices according to the 3rd embodiment according to first embodiment.
Figure 16 schematically illustrates the configuration according to the frequency band synthesis device 30 of the 3rd embodiment.With reference to Figure 16, frequency band synthesis device 30 comprises row buffer unit 31, horizontal composite filter unit 32, and line buffer unit 33, vertically synthetic filter cell 34 and vertical blank signal insert unit 35.
The low frequency component D30 and the high fdrequency component D31 of each row stored and kept to row buffer unit 31.Row buffer unit 31 continues storage and reservation low frequency component D30 and high fdrequency component D31 and is stored up to the low frequency component D30 and the high fdrequency component D31 of M sample.Only the low frequency component D30 at the low-limit frequency subband is imported into row buffer unit 31.Then, the low frequency component D35 that is produced by synthetic filtering provides from vertical synthetic filter cell 34.
The columns that horizontal composite filter unit 32 orders read M sample is according to D32, and executive level low pass synthetic filtering and horizontal high pass synthetic filtering.Because horizontal filtering, synthetic low frequency and the high fdrequency component D33 that obtains produced by level.
Vertical synthetic filter cell 34 orders read the capable line data D34 of N, and carry out vertical low pass synthetic filtering and perpendicular high pass synthetic filtering.Because vertical filtering is produced by the vertical synthetic low frequency component D35 that obtains.Low frequency component D35 is provided for row buffer unit 31, and storage and keep and to cut apart other synthetic filtering of level up to next and be performed in row buffer unit 31.
In inverse wavelet transform, synthetic filtering is for example carrying out to the direction of cutting apart rank 1 from cutting apart rank 4, and the direction of this and wavelet transformation is opposite.Be created in the processing of cutting apart the low frequency signal on the rank than last rank low 1 by repeating from low frequency component D35 and high fdrequency component D31, image data stream is produced.The image data stream that is produced is provided for the vertical blank signal and inserts unit 35.
As shown in Figure 2, the vertical blank signal inserts unit 35 and in predetermined timing a vertical blank signal is inserted in the image data stream, and exports the vision signal D36 that is produced.
Lift technique also can be applicable to synthetic filtering.Yet in the synthetic filtering that has adopted the lifting structure, when cutting apart the rank increase, the timing that produces high fdrequency component or low frequency component is by 2 times of delays.Therefore, the inverse wavelet transform of photo current may not be done in the phase at vertical blank as shown in Figure 2, and next picture may be transfused to before the inverse wavelet transform of photo current is finished.
Figure 17 has shown the example that next picture was transfused to before the inverse wavelet transform of photo current is finished.Figure 17 shown when the inverse wavelet transform at photo current and next picture is performed, with time sequencing from cutting apart the processing of rank 4 to the inverse wavelet transform of cutting apart rank 1.The row that shows in Figure 17 number and the row that uses according to SMPTE 274M standard in Fig. 2 are number identical.As shown in figure 17, photo current is not done when the synthetic filtering that next picture is being cut apart rank 4 is performed at the synthetic filtering of cutting apart rank 2 and 1.
In order to address the above problem, according to the frequency band synthesis device 30 of the 3rd embodiment in advance each cut apart other photo current of level the lower end row synthetic filtering regularly, as shown in figure 18.Therefore, photo current was done before the synthetic filtering of cutting apart rank 1 can begin at the synthetic filtering that next picture is being cut apart rank 4.In addition, as shown in figure 18, next picture regularly is delayed at predetermined one or more synthetic filterings of cutting apart rank (cutting apart rank 4 and 3).
Be used for being described below in each synthetic filtering method regularly of cutting apart the lower end row of other photo current of level in advance.
Figure 19 has shown that wherein lift technique is applied to the synthetic filtering of 9 * 7 composite filters from cutting apart rank 4 to cutting apart the example that rank 1 is performed.
In the synthetic filtering of the lower end row of cutting apart rank 4, component (40), (41) and (42) are produced with this order, and low frequency component (43) and high fdrequency component (44) are produced then, as shown in figure 19.Similarly, in the synthetic filtering of the lower end row of cutting apart rank 3, component (30), (31) and (32) are produced with this order, and low frequency component (33) and high fdrequency component (34) are produced then, as shown in figure 19.In the synthetic filtering of the lower end row of cutting apart rank 2, component (20), (21) and (22) are produced with this order, and low frequency component (23) and high fdrequency component (24) are produced then, as shown in figure 19.In the synthetic filtering of the lower end row of cutting apart rank 1, component (10), (11) and (12) are produced with this order, and low frequency component (13) and high fdrequency component (14) are produced then, as shown in figure 19.
As shown in figure 19, in the blank phase, do not finish at the synthetic filtering of cutting apart rank 4.Therefore, the inverse wavelet transform of photo current was not done before next picture input.
In order to address the above problem, in advance in the timing of the symmetrical extension process of lower end row, and therefore the synthetic filtering of the lower end row of photo current is regularly in advance according to the frequency band synthesis device 30 of the 3rd embodiment.That is to say, as shown in figure 20, be right after and will standing after the original sample of the symmetry expansion that the lower end of each subband of photo current row is used to replenish is produced, frequency band synthesis device 30 is carried out symmetrical extension process, and execution is cut apart other synthetic filtering of level at each.
In addition, because the frequency band synthesis device 30 according to the 3rd embodiment has postponed next picture in predetermined one or more synthetic filtering timings of cutting apart on the rank, make the inverse wavelet transform of photo current avoid in time overlapping, as shown in figure 18 with the inverse wavelet transform of next picture.That is to say, give an example,, avoided the inverse wavelet transform overlapping in time with photo current, as shown in figure 21 by stopping at the synthetic filtering of cutting apart one or more upper ends row on rank 4 and 3.Then, by comprise in advance above-mentioned one or the synthetic filtering of the synthetic filtering of multirow handle regularly, avoided with next picture overlapping in time.
Therefore, even, finish synthetic filtering before frequency band synthesis device 30 also can begin at the synthetic filtering of the upper end of next picture row up to the photo current of cutting apart rank 1 when cutting apart number of levels when big.
If the temporal overlapping between the inverse wavelet transform of the inverse wavelet transform of photo current and next picture only regularly just can be avoided by the symmetry expansion at the lower end row in advance, next picture is cut apart other synthetic filtering timing of level and can be delayed as shown in figure 21 predetermined.
The 4th embodiment
To be described with image encoding apparatus 20 corresponding image decoding apparatus according to the 4th embodiment according to second embodiment.
Figure 22 schematically illustrates the configuration according to the image decoding apparatus 40 of the 4th embodiment.With reference to Figure 22, image decoding apparatus 40 comprises entropy decoding unit 41, goes quantifying unit 42 and composite filter group 43.
Go quantifying unit 42 to realize quantizing, and produce coefficient data D42 by take advantage of quantization coefficient data D41 with quantization step.Usually, quantization step is described at the head of encoding code stream.
The present invention is not limited to any one among above-mentioned first to fourth embodiment.Can realize various variants and modifications of the present invention are not deviated from the spirit and scope of the present invention.
For example, although be described in the situation of carrying out vertical filtering executive level filtering afterwards according to the frequency range analysis equipment 10 of first embodiment, frequency range analysis equipment 10 can be carried out vertical filtering after executive level filtering.Figure 23 schematically illustrates the configuration of the frequency range analysis equipment 50 of carrying out vertical filtering after executive level filtering.
In frequency range analysis equipment 50, image line input unit 51 receives the vision signal D50 of every row, and the data flow D51 of image line is offered row buffer unit 52.Row buffer unit 52 storage also keeps data flow D51 of each row, and continues storage and retention data and flow D51 and be stored up to the data flow D51 of M sample.The columns that horizontal analysis filter cell 53 orders read M sample is according to D52, and filtering of executive level lowpass analysis and horizontal high pass analysis filtering.Because horizontal filtering, low frequency and the high fdrequency component D53 of being cut apart acquisition by level are produced.Be right after after the line number of low frequency and high fdrequency component D53 reaches N, line analysis filter cell 54 is carried out vertical lowpass analysis filtering and perpendicular high pass analysis filtered.Because vertical filtering, low frequency component (1LL) D54 and high fdrequency component (1HL, 1LH and the 1HH) D55 that are obtained by vertical segmentation are produced.Low frequency component (1LL) D54 is provided for row buffer unit 52 to stand in the analysis filtered of cutting apart rank 2.
As mentioned above, the subband that produces when horizontal filtering is performed after vertical filtering is carried out is identical with the subband that produces when vertical filtering is performed after horizontal filtering is carried out.
Although hardware configuration is described in the aforementioned embodiment, a series of processing available software realize.In this case, the program that constitutes this software can be included in the computer specialized hardware such as read-only memory (ROM) or hard disk in advance, or be installed in from network or recording medium can be by installing on the general purpose personal computer that various programs carry out various functions.As recording medium, give an example, comprise disk (floppy disk), such as the CD of compact disc-ROM (CD-ROM) or digital versatile disc (DVD), can be used such as the magneto optical disk of mini disk (MD) (trade mark) or the assembly medium of semiconductor memory.
It should be appreciated by those skilled in the art that as long as in the scope of appended claim and equivalent thereof various modifications, combination, sub-portfolio and change can occur according to designing requirement and other factors.
Claims (15)
1. image processing equipment comprises:
The input unit that is used for input image data; And
Be used for by the view data of being imported by this input unit is carried out the analysis filtered device that analysis filtered produces the coefficient data of a plurality of subbands, described analysis filtered is carried out at each the predetermined line number from the upper end row to the lower end row,
Wherein, in advance the analysis filtered of lower end row regularly makes the analysis filtered of lower end row of photo current be done before the analysis filtered of the upper end of next picture row begins.
2. according to the image processing equipment of claim 1, wherein:
Described analysis filtered device is carried out wavelet transform process; And
Be right after after the original sample that will stand the symmetry expansion that the lower end row of each is used to replenish in the lower end of photo current row and a plurality of subbands of photo current is produced, described analysis filtered device is carried out symmetrical extension process.
3. according to the image processing equipment of claim 2, wherein said analysis filtered device produces low frequency component and high fdrequency component by carrying out vertical lowpass analysis filtering and perpendicular high pass analysis filtered when in vertical direction line number reaches predetermined value, and filtering of executive level lowpass analysis and horizontal high pass analysis filtering when the sample number on the horizontal direction of low frequency that is produced and high fdrequency component reaches predetermined value.
4. according to the image processing equipment of claim 2, wherein said analysis filtered device produces low frequency component and high fdrequency component by filtering of executive level lowpass analysis and horizontal high pass analysis filtering when in the horizontal direction sample number reaches predetermined value, and carries out vertical lowpass analysis filtering and perpendicular high pass analysis filtered when the line number on the vertical direction of low frequency that is produced and high fdrequency component reaches predetermined value.
5. according to the image processing equipment of claim 1, further comprise:
Be used for detecting as the vertical blank signal of the vision signal of described view data the checkout gear of the end points of several each width of cloth of picture by detection.
6. according to the image processing equipment of claim 1, further comprise:
Be used to encode the coefficient data of a plurality of subbands of producing by described analysis filtered device to produce the code device of encoding stream.
7. according to the image processing equipment of claim 6, wherein said code device comprises:
The coefficient data that is used to quantize a plurality of subbands of being produced by described analysis filtered device is to produce the quantization device of quantization coefficient data; And
Be used for the quantization coefficient data that described quantization device produces is carried out entropy coding to produce the entropy coding device of encoding stream.
8. image processing method may further comprise the steps:
Input image data; And
By the view data of input is carried out the coefficient data that analysis filtered produces a plurality of subbands, described analysis filtered is carried out at each the predetermined line number from the upper end row to the lower end row,
Wherein, in advance the analysis filtered of lower end row regularly makes the analysis filtered of lower end row of photo current be done before the analysis filtered of the upper end of next picture row begins.
9. image processing equipment comprises:
Be used to import by view data being carried out the input unit of the coefficient data that filtering produces at each predetermined line number from the upper end row to the lower end row; And
Be used for producing the synthetic filtering device of described view data by the synthetic filtering that the described coefficient data by this input unit input is carried out vertical and level, described synthetic filtering carries out at the predetermined line number of each from the upper end row to the lower end row of each in a plurality of subbands
Wherein, in advance the synthetic filtering of lower end row regularly makes the synthetic filtering of lower end row of photo current be done before the synthetic filtering of the upper end of next picture row begins.
10. according to the image processing equipment of claim 9, wherein:
Described synthetic filtering device is carried out inverse wavelet transform and is handled; And
Be right after after the original sample that will stand the symmetry expansion that the lower end row of each is used to replenish in a plurality of subbands of photo current is produced, described synthetic filtering device is carried out symmetrical extension process.
11. image processing equipment according to claim 9, wherein said synthetic filtering device makes the synthetic filtering of the one or more upper ends row of each in one or more a plurality of subbands of cutting apart on the rank of next picture stop scheduled time slot, makes the synthetic filtering of upper end row of this subband of next picture begin after the synthetic filtering of the lower end of the corresponding subband of photo current row is finished.
12. the image processing equipment according to claim 9 further comprises:
Be used between the picture that produces by described synthetic filtering device, inserting the vertical blank signal to rebuild vertical blank signal insertion device as the vision signal of described view data.
13. the image processing equipment according to claim 9 further comprises:
Be used for producing by the encoding stream of decoding the decoding device of the coefficient data of a plurality of subbands, this encoding stream is that the coefficient data by the described a plurality of subbands of encoding produces and by described input unit input.
14. according to the image processing equipment of claim 13, wherein said decoding device comprises:
Be used for described encoding stream is carried out the entropy decoding entropy decoding device with the quantization coefficient data that produces described a plurality of subbands; And
Be used for the described quantization coefficient data that is produced by this entropy decoding device is removed to quantize the quantization device that goes with the coefficient data that produces described a plurality of subbands.
15. an image processing method comprises:
Input is by carrying out the coefficient data that filtering produces at each the predetermined line number from the upper end row to the lower end row to view data; And
The synthetic filtering that carries out vertical and level by the coefficient data to input produces described view data, and described synthetic filtering carries out at the predetermined line number of each from the upper end row to the lower end row of each in a plurality of subbands,
Wherein, in advance the synthetic filtering of lower end row regularly makes the synthetic filtering of lower end row of photo current be done before the synthetic filtering of the upper end of next picture row begins.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2006136876A JP4371120B2 (en) | 2006-05-16 | 2006-05-16 | Image processing apparatus, image processing method, program, and recording medium |
| JP2006136876 | 2006-05-16 | ||
| JP2006-136876 | 2006-05-16 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101076118A CN101076118A (en) | 2007-11-21 |
| CN101076118B true CN101076118B (en) | 2011-08-03 |
Family
ID=38712039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2007101041263A Expired - Fee Related CN101076118B (en) | 2006-05-16 | 2007-05-16 | Image processing apparatus and image processing method |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US7907785B2 (en) |
| JP (1) | JP4371120B2 (en) |
| KR (1) | KR101376385B1 (en) |
| CN (1) | CN101076118B (en) |
| TW (1) | TW200803524A (en) |
Families Citing this family (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5098404B2 (en) * | 2006-10-27 | 2012-12-12 | ソニー株式会社 | Voice processing method and voice processing apparatus |
| JP4356031B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Information processing apparatus and method |
| JP4356029B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Information processing apparatus and method |
| JP4356028B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Information processing apparatus and method |
| JP4356033B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Image data processing apparatus and method |
| JP4356030B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Information processing apparatus and method |
| JP4525704B2 (en) * | 2007-05-17 | 2010-08-18 | ソニー株式会社 | Encoding apparatus and method, recording medium, and program. |
| JP4793320B2 (en) * | 2007-05-17 | 2011-10-12 | ソニー株式会社 | Information processing apparatus and method |
| JP4356032B2 (en) * | 2007-05-17 | 2009-11-04 | ソニー株式会社 | Information processing apparatus and method |
| US8718743B2 (en) * | 2008-04-24 | 2014-05-06 | Duke University | Methods for single-pass volumetric bidirectional blood flow imaging spectral domain optical coherence tomography using a modified hilbert transform |
| KR101498206B1 (en) | 2008-09-30 | 2015-03-06 | 삼성전자주식회사 | Apparatus and method for obtaining high resolution image |
| US8538189B2 (en) * | 2008-11-14 | 2013-09-17 | Ati Technologies Ulc | Image noise filter and method |
| JP4670947B2 (en) * | 2008-12-05 | 2011-04-13 | ソニー株式会社 | Information processing apparatus and method |
| JP4626707B2 (en) * | 2008-12-08 | 2011-02-09 | ソニー株式会社 | Information processing apparatus and method |
| JP4883076B2 (en) * | 2008-12-12 | 2012-02-22 | ソニー株式会社 | Information processing apparatus and method |
| JP4760902B2 (en) * | 2008-12-17 | 2011-08-31 | ソニー株式会社 | Information processing apparatus and method |
| JP2010239288A (en) | 2009-03-30 | 2010-10-21 | Sony Corp | Information processing device and method |
| JP5493471B2 (en) | 2009-05-27 | 2014-05-14 | ソニー株式会社 | Information processing apparatus and method |
| JP2011071649A (en) * | 2009-09-24 | 2011-04-07 | Sony Corp | Image processing apparatus and method |
| JP5263621B2 (en) | 2009-09-24 | 2013-08-14 | ソニー株式会社 | Image processing apparatus and method |
| JP5640370B2 (en) * | 2009-12-18 | 2014-12-17 | ソニー株式会社 | Image processing apparatus, image processing method, and imaging apparatus |
| US8948252B2 (en) | 2010-03-30 | 2015-02-03 | Sony Corporation | Moving picture transmission apparatus, moving picture transmission system, moving picture transmission method, and program |
| CN102215324B (en) * | 2010-04-08 | 2013-07-31 | 安凯(广州)微电子技术有限公司 | Filtering circuit for performing filtering operation on video image and filtering method thereof |
| JP5397700B2 (en) | 2010-04-09 | 2014-01-22 | ソニー株式会社 | Information processing apparatus and method |
| JP5590390B2 (en) * | 2010-07-15 | 2014-09-17 | ソニー株式会社 | Image processing apparatus and method |
| JP5598155B2 (en) | 2010-08-12 | 2014-10-01 | ソニー株式会社 | Information processing apparatus and method, and transmission / reception system |
| JP5672840B2 (en) * | 2010-08-12 | 2015-02-18 | ソニー株式会社 | Information processing apparatus and method, and program |
| JP2012142701A (en) | 2010-12-28 | 2012-07-26 | Sony Corp | Transmitter, transmission method and program |
| JP2012222643A (en) | 2011-04-11 | 2012-11-12 | Sony Corp | Display controller, display control method, and program |
| JP2013005064A (en) * | 2011-06-13 | 2013-01-07 | Sony Corp | Transmitter, transmission method, and program |
| JP2014093584A (en) | 2012-11-01 | 2014-05-19 | Sony Corp | Transmission device, transmission method, receiving device, reception method and computer program |
| JP6614145B2 (en) | 2014-07-18 | 2019-12-04 | ソニー株式会社 | Receiving device, receiving method, and computer program |
| CN104144310B (en) * | 2014-07-31 | 2017-08-01 | 广东威创视讯科技股份有限公司 | Ultra high-definition image in different resolution treating method and apparatus |
| TWI705666B (en) * | 2015-06-15 | 2020-09-21 | 日商新力股份有限公司 | Transmission device, receiving device, communication system |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2173092C (en) * | 1995-03-31 | 2000-04-18 | Teruyoshi Washizawa | Image processing apparatus and method |
| US5999656A (en) * | 1997-01-17 | 1999-12-07 | Ricoh Co., Ltd. | Overlapped reversible transforms for unified lossless/lossy compression |
| US6091777A (en) * | 1997-09-18 | 2000-07-18 | Cubic Video Technologies, Inc. | Continuously adaptive digital video compression system and method for a web streamer |
| JP2001258034A (en) | 2000-03-13 | 2001-09-21 | Canon Inc | Encoding device, encoding method, and recording medium |
| JP2002091943A (en) | 2000-09-19 | 2002-03-29 | Mega Chips Corp | Lifting method |
| US6898323B2 (en) * | 2001-02-15 | 2005-05-24 | Ricoh Company, Ltd. | Memory usage scheme for performing wavelet processing |
| JP2002304624A (en) | 2001-04-05 | 2002-10-18 | Canon Inc | Filter processing device and imaging device |
| JP2003023632A (en) | 2001-07-11 | 2003-01-24 | Fujitsu Ltd | Coding/decoding method and coding/decoding system |
| JP3954459B2 (en) | 2002-07-23 | 2007-08-08 | 株式会社リコー | Moving image processing apparatus, moving image processing method, and surveillance camera system |
| JP2004135070A (en) | 2002-10-10 | 2004-04-30 | Kyoshin Technosonic Co Ltd | Encoding method and picture processor |
| JP4361755B2 (en) | 2003-05-08 | 2009-11-11 | 株式会社リコー | Moving image processing apparatus, program, storage medium, and moving image processing method |
| JP2005094212A (en) | 2003-09-16 | 2005-04-07 | Canon Inc | Image processing apparatus and method, computer program, and computer-readable storage medium |
-
2006
- 2006-05-16 JP JP2006136876A patent/JP4371120B2/en not_active Expired - Fee Related
-
2007
- 2007-05-07 US US11/745,132 patent/US7907785B2/en not_active Expired - Fee Related
- 2007-05-07 TW TW96116127A patent/TW200803524A/en unknown
- 2007-05-15 KR KR1020070047213A patent/KR101376385B1/en not_active Expired - Fee Related
- 2007-05-16 CN CN2007101041263A patent/CN101076118B/en not_active Expired - Fee Related
Non-Patent Citations (5)
| Title |
|---|
| JP特开2003-23632A 2003.01.24 |
| JP特开2004-336404A 2004.11.25 |
| JP特开2004-56632A 2004.02.19 |
| JP特开2005-94212A 2005.04.07 |
| JP特开平10-63643A 1998.03.06 |
Also Published As
| Publication number | Publication date |
|---|---|
| US7907785B2 (en) | 2011-03-15 |
| JP2007311924A (en) | 2007-11-29 |
| TW200803524A (en) | 2008-01-01 |
| KR20070111361A (en) | 2007-11-21 |
| US20070269122A1 (en) | 2007-11-22 |
| CN101076118A (en) | 2007-11-21 |
| JP4371120B2 (en) | 2009-11-25 |
| KR101376385B1 (en) | 2014-03-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101076118B (en) | Image processing apparatus and image processing method | |
| CN101076117B (en) | Image processing apparatus and image processing method | |
| CN101309417B (en) | Apparatus and method for processing image data | |
| JP4254017B2 (en) | Image coding apparatus and method | |
| US8265402B2 (en) | 2 dimensional signal encoding/decoding method and device | |
| CN101729896B (en) | Information processing device and method | |
| US8594427B2 (en) | Method and apparatus for reducing memory capacity in encoding image data | |
| CN101309418B (en) | Information processing apparatus and method | |
| US8611686B2 (en) | Coding apparatus and method | |
| JP4449400B2 (en) | Image encoding apparatus and method, program, and recording medium | |
| CN101309416B (en) | Information processing device and method | |
| US20070237411A1 (en) | Image signal processing apparatus | |
| CN102131082A (en) | Image processing apparatus and image processing method | |
| CN102158695A (en) | Image processing device and method | |
| US8249375B2 (en) | Information processing apparatus and method | |
| JP2010213059A (en) | Image encoding apparatus and image encoding method | |
| JP2011114592A (en) | Information processing device and method | |
| Hongxin et al. | Memory efficient image compressing using lifting scheme |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110803 Termination date: 20150516 |
|
| EXPY | Termination of patent right or utility model |